Bibliographic record
Abstract
Introduction: Gender and Family in East Asia, Angela Wai Ching WONG, Maria Siumi TAM, and Danning WANG Part I: Marriage and Motherhood 1. Transforming the Gendered Organization of Childcare: Experiences of Three Generations of Rural Mothers in an Inland Chinese Village (1940s-2006), Yuqin HUANG 2. Going Back to Traditional Ethics? The Importance of Marriage for Female College Graduates in Japan from 1995 to 2010, Kiyoko YAMAGUCHI 3. Behind The Family's Common Interest: Battles Between Korean Entrepreneur Couples, Seyoung KANG 4. In the Name of the Father? The Law and Social Norms of Children's Surnames in Taiwan, Yun Hsien Diana LIN Part II: Migration 5. The Implication of Labor Migration for Left-behind Married Miao Women in a Poor Village in Guizhou, Pui Yim Ada LAI 6. Making A Productive Home: How Chinese Immigrant Women Do Wai Ling WONG 7. Gender, Family, and Work: Examining the Transnational Migration Processes of Chinese Immigrant Women in Canada, Guida MAN 8.T ransnational Duties: Marriage and Family Practices among Indian Migrants in Hong Kong, Maria Siumi TAM Part III: Religion and Family 9. Islamic Menhuan System, Patrilineal Family, and Gender Relations of Dongxiang People in Gansu, China, Ke MAN 10. Theorizing Women's Agency: Women's Religious Negotiation with Marginal Families in Chinese Society, Wai Ching Angela WONG 11. Women, Mourning, and the Ritual for the Death of Family, Seongnae KIM 11. Conclusion: Marriages and Families in Asia: Something Old and Something New?, Laurel KENDALL
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".